Exploring high-performance viscosity index improver polymers via high-throughput molecular dynamics and explainable AI

Abstract Data-driven material innovation has the potential to revolutionize the traditional Edisonian process and significantly shorten development cycles. However, the scarcity of data in materials science and the poor interpretability of machine learning pose serious obstacles to the adoption of t...

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Библиографические подробности
Главные авторы: Rui Zhou, Luyao Bao, Weifeng Bu, Feng Zhou
Формат: Статья
Язык:English
Опубликовано: Nature Portfolio 2025-03-01
Серии:npj Computational Materials
Online-ссылка:https://doi.org/10.1038/s41524-025-01539-z

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